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Speech and Computer

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Cover of 'Speech and Computer'

Table of Contents

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    Book Overview
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    Chapter 1 Automatic Detection of the Prosodic Structures of Speech Utterances
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    Chapter 2 A Method for Auditory Evaluation of Synthesized Speech Intonation
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    Chapter 3 Acoustic Modeling with Deep Belief Networks for Russian Speech Recognition
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    Chapter 4 An Analysis of Speech Signals of the Choapam Variant Zapotec Language
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    Chapter 5 Analysis of Expert Manual Annotation of the Russian Spontaneous Monologue: Evidence from Sentence Boundary Detection
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    Chapter 6 Application of l 1 Estimation of Gaussian Mixture Model Parameters for Language Identification
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    Chapter 7 Application of Automatic Fragmentation for the Semantic Comparison of Texts
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    Chapter 8 Auditory and Spectrographic Analysis of the Words of 2-8 Years-Old Russian Children
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    Chapter 9 Auditory and Visual Recognition of Emotional Behaviour of Foreign Language Subjects (by Native and Non-native Speakers)
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    Chapter 10 Automatic Detection of Speech Disfluencies in the Spontaneous Russian Speech
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    Chapter 11 Automatic Morphological Annotation in a Text-to-Speech System for Hebrew
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    Chapter 12 Comparative Study of English, Dutch and German Prosodic Features (Fundamental Frequency and Intensity) as Means of Speech
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    Chapter 13 Covariance Matrix Enhancement Approach to Train Robust Gaussian Mixture Models of Speech Data
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    Chapter 14 Dealing with Diverse Data Variances in Factor Analysis Based Methods
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    Chapter 15 Detection of the Frequency Characteristics of the Articulation System with the Use of Voice Source Signal Recording Method
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    Chapter 16 Encoding of Spatial Perspectives in Human-Machine Interaction
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    Chapter 17 Evaluation of Advanced Language Modeling Techniques for Russian LVCSR
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    Chapter 18 Examining Vulnerability of Voice Verification Systems to Spoofing Attacks by Means of a TTS System
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    Chapter 19 Exploiting Multiple ASR Outputs for a Spoken Language Understanding Task
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    Chapter 20 Fast Algorithm for Automatic Alignment of Speech and Imperfect Text Data
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    Chapter 21 GMM Based Language Identification System Using Robust Features
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    Chapter 22 Hierarchical Clustering and Classification of Emotions in Human Speech Using Confusion Matrices
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    Chapter 23 Improvements in Czech Expressive Speech Synthesis in Limited Domain
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    Chapter 24 Improving Prosodic Break Detection in a Russian TTS System
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    Chapter 25 Investigation of Forensically Significant Changes of Acoustic Features with Regard to Code-Switching (on the Basis of Russian and German)
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    Chapter 26 LIMA: A Spoken Language Identification Framework
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    Chapter 27 Language Identification System for the Tatar Language
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    Chapter 28 Language Model Comparison for Ukrainian Real-Time Speech Recognition System
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    Chapter 29 Lexicon Size and Language Model Order Optimization for Russian LVCSR
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    Chapter 30 Lingua-cognitive Survey of the Semantic Field “Aggression” in Multicultural Communication: Typed Text
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    Chapter 31 Method for Pornography Filtering in the WEB Based on Automatic Classification and Natural Language Processing
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    Chapter 32 Noise and Channel Normalized Cepstral Features for Far-speech Recognition
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    Chapter 33 Parametric Speech Synthesis and User Interface for Speech Modification
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    Chapter 34 Phrase-Final Segment Lengthening in Russian: Preliminary Results of a Corpus-Based Study
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    Chapter 35 Pseudo Real-Time Spoken Term Detection Using Pre-retrieval Results
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    Chapter 36 Results for Variable Speaker and Recording Conditions on Spoken IR in Finnish
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    Chapter 37 SVID Speaker Recognition System for NIST SRE 2012
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    Chapter 38 Segmentation of Telephone Speech Based on Speech and Non-speech Models
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    Chapter 39 Software for Assessing Voice Quality in Rehabilitation of Patients after Surgical Treatment of Cancer of Oral Cavity, Oropharynx and Upper Jaw
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    Chapter 40 Speaker Turn Detection Based on Multimodal Situation Analysis
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    Chapter 41 Speech and Crosstalk Detection for Robust Speech Recognition Using a Dual Microphone System
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    Chapter 42 Speech and Language Resources within Speech Recognition and Synthesis Systems for Serbian and Kindred South Slavic Languages
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    Chapter 43 Statistical Language Aspects of Intonation and Gender Features Based on the Lithuanian Language
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    Chapter 44 Text Understanding as Interpretation of Predicative Structure Strings of Main Text’s Sentences as Result of Pragmatic Analysis (Combination of Linguistic and Statistic Approaches)
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    Chapter 45 The Diarization System for an Unknown Number of Speakers
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    Chapter 46 The Problem of Voice Template Aging in Speaker Recognition Systems
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    Chapter 47 The Use of Several Language Models and Its Impact on Word Insertion Penalty in LVCSR
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    Chapter 48 The Use of d-gram Language Models for Speech Recognition in Russian
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Title
Speech and Computer
Published by
Springer, Cham, January 2013
DOI 10.1007/978-3-319-01931-4
ISBNs
978-3-31-901930-7, 978-3-31-901931-4
Editors

Miloš Železný, Ivan Habernal, Andrey Ronzhin

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Geographical breakdown

Country Count As %
Unknown 1 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 100%
Readers by discipline Count As %
Computer Science 1 100%